The primary goal of this challenge is to develop an innovative solution that leverages public smart meter data to generate clusters of load profiles, highlighting patterns into energy consumption. Participants will be tasked with creating an innovative approach that not only identifies and categorizes these clusters but also provides actionable insights for optimizing energy use.

Objectives

• Main Objective: Develop a solution to generate load profile clusters based on public smart meter data.
• Follow-up Objectives: Determine the sizes of clusters, visualize changes over time, identify key features of clusters, forecast cluster changes, and propose solutions to shift consumers between clusters.

Tasks

• Cluster analysis: Determine the optimal sizes and boundaries of these clusters.
• Temporal Visualization: Visualize how these clusters evolve over time to understand dynamic consumption patterns.
• Feature Identification: Identify the key characteristics that define each cluster.
• Forecasting: Predict future changes in cluster composition and behaviour.
• Consumer Shift Strategy: Propose actionable strategies to help consumers transition between clusters, optimizing energy consumption and efficiency.

Contact

Axpo/CKW, Maksim Kapustsin, Ilaria Mastromarino and Roman Sonder (CKW)